Task
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18740 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

18740 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.5477, kappa: 0.403, kb_relative_information_score: 1987.2618, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.554, predictive_accuracy: 0.5811, prior_entropy: 2.3005, recall: 0.5811, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6029, kappa: 0.4727, kb_relative_information_score: 189.748, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6001, predictive_accuracy: 0.6108, prior_entropy: 2.3005, recall: 0.6108, relative_absolute_error: 1.1054, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.5539, kappa: 0.4064, kb_relative_information_score: 2226.7576, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5505, predictive_accuracy: 0.5605, prior_entropy: 2.3005, recall: 0.5605, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8515, f_measure: 0.5472, kappa: 0.4011, kb_relative_information_score: 2038.9079, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5541, predictive_accuracy: 0.5803, prior_entropy: 2.3005, recall: 0.5803, relative_absolute_error: 0.7673, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.5675, kappa: 0.4285, kb_relative_information_score: 2143.3566, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5704, predictive_accuracy: 0.5955, prior_entropy: 2.3005, recall: 0.5955, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.6142, kappa: 0.4881, kb_relative_information_score: 3086.6265, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6113, predictive_accuracy: 0.6244, prior_entropy: 2.3005, recall: 0.6244, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.4957, kappa: 0.333, kb_relative_information_score: 522.0106, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5111, predictive_accuracy: 0.5391, prior_entropy: 2.3005, recall: 0.5391, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3556, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.5983, kappa: 0.4678, kb_relative_information_score: 1763.9372, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6028, predictive_accuracy: 0.6152, prior_entropy: 2.3005, recall: 0.6152, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.5991, kappa: 0.4704, kb_relative_information_score: 2433.6697, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5958, predictive_accuracy: 0.6183, prior_entropy: 2.3005, recall: 0.6183, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.6068, kappa: 0.4803, kb_relative_information_score: 2581.9442, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6028, predictive_accuracy: 0.6239, prior_entropy: 2.3005, recall: 0.6239, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.5537, kappa: 0.4102, kb_relative_information_score: 2082.9732, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5583, predictive_accuracy: 0.585, prior_entropy: 2.3005, recall: 0.585, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.8517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.5752, kappa: 0.4377, kb_relative_information_score: 2215.3155, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5768, predictive_accuracy: 0.6005, prior_entropy: 2.3005, recall: 0.6005, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.5413, kappa: 0.3937, kb_relative_information_score: 2013.1629, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5492, predictive_accuracy: 0.576, prior_entropy: 2.3005, recall: 0.576, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.5278, kappa: 0.373, kb_relative_information_score: 389.848, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5326, predictive_accuracy: 0.5494, prior_entropy: 2.3005, recall: 0.5494, relative_absolute_error: 1.0761, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.5566, kappa: 0.413, kb_relative_information_score: 2117.8046, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5617, predictive_accuracy: 0.587, prior_entropy: 2.3005, recall: 0.587, relative_absolute_error: 0.7566, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.4413, kappa: 0.267, kb_relative_information_score: 176.8181, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4935, predictive_accuracy: 0.4953, prior_entropy: 2.3005, recall: 0.4953, relative_absolute_error: 1.1073, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.5246, kappa: 0.3684, kb_relative_information_score: 426.6622, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5294, predictive_accuracy: 0.5484, prior_entropy: 2.3005, recall: 0.5484, relative_absolute_error: 1.0706, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3614, root_relative_squared_error: 1.0207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.6036, kappa: 0.4755, kb_relative_information_score: 2610.9596, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5987, predictive_accuracy: 0.619, prior_entropy: 2.3005, recall: 0.619, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.8201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.6103, kappa: 0.4849, kb_relative_information_score: 2579.3608, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6062, predictive_accuracy: 0.6268, prior_entropy: 2.3005, recall: 0.6268, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.6075, kappa: 0.4794, kb_relative_information_score: 2488.0804, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6076, predictive_accuracy: 0.6213, prior_entropy: 2.3005, recall: 0.6213, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.5732, kappa: 0.4326, kb_relative_information_score: 190.0552, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5692, predictive_accuracy: 0.5789, prior_entropy: 2.3005, recall: 0.5789, relative_absolute_error: 1.1055, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3719, root_relative_squared_error: 1.0504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.5664, kappa: 0.4258, kb_relative_information_score: 2182.5545, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5686, predictive_accuracy: 0.5928, prior_entropy: 2.3005, recall: 0.5928, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.6186, kappa: 0.4949, kb_relative_information_score: 2739.6858, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6141, predictive_accuracy: 0.6306, prior_entropy: 2.3005, recall: 0.6306, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.8169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.6132, kappa: 0.4886, kb_relative_information_score: 2560.1033, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6093, predictive_accuracy: 0.629, prior_entropy: 2.3005, recall: 0.629, relative_absolute_error: 0.6745, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.8171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.6056, kappa: 0.4763, kb_relative_information_score: 193.9913, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6017, predictive_accuracy: 0.6128, prior_entropy: 2.3005, recall: 0.6128, relative_absolute_error: 1.1048, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5088, kappa: 0.3554, kb_relative_information_score: 189.1354, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5307, predictive_accuracy: 0.55, prior_entropy: 2.3005, recall: 0.55, relative_absolute_error: 1.1048, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.5691, kappa: 0.4301, kb_relative_information_score: 2174.7163, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5715, predictive_accuracy: 0.5958, prior_entropy: 2.3005, recall: 0.5958, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.5719, kappa: 0.4338, kb_relative_information_score: 2172.4434, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5731, predictive_accuracy: 0.5976, prior_entropy: 2.3005, recall: 0.5976, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.5515, kappa: 0.4031, kb_relative_information_score: 577.9481, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5557, predictive_accuracy: 0.5665, prior_entropy: 2.3005, recall: 0.5665, relative_absolute_error: 1.051, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3562, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.5708, kappa: 0.4319, kb_relative_information_score: 2156.411, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.574, predictive_accuracy: 0.5971, prior_entropy: 2.3005, recall: 0.5971, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.5903, kappa: 0.4552, kb_relative_information_score: 188.2769, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5889, predictive_accuracy: 0.5924, prior_entropy: 2.3005, recall: 0.5924, relative_absolute_error: 1.1058, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.372, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.6103, kappa: 0.4829, kb_relative_information_score: 3056.6667, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6074, predictive_accuracy: 0.621, prior_entropy: 2.3005, recall: 0.621, relative_absolute_error: 0.5233, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.5436, kappa: 0.3928, kb_relative_information_score: 1674.303, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.542, predictive_accuracy: 0.5489, prior_entropy: 2.3005, recall: 0.5489, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.322, root_relative_squared_error: 0.9095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.5624, kappa: 0.4203, kb_relative_information_score: 2164.6871, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5663, predictive_accuracy: 0.5902, prior_entropy: 2.3005, recall: 0.5902, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.6033, kappa: 0.4739, kb_relative_information_score: 3031.7275, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6005, predictive_accuracy: 0.6167, prior_entropy: 2.3005, recall: 0.6167, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.6106, kappa: 0.485, kb_relative_information_score: 2650.1562, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6055, predictive_accuracy: 0.6247, prior_entropy: 2.3005, recall: 0.6247, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.5853, kappa: 0.4501, kb_relative_information_score: 1994.5215, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5878, predictive_accuracy: 0.6049, prior_entropy: 2.3005, recall: 0.6049, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.6044, kappa: 0.4771, kb_relative_information_score: 2521.9706, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6008, predictive_accuracy: 0.6221, prior_entropy: 2.3005, recall: 0.6221, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.5828, kappa: 0.4483, kb_relative_information_score: 2290.0896, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5808, predictive_accuracy: 0.6049, prior_entropy: 2.3005, recall: 0.6049, relative_absolute_error: 0.7214, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.296, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.5973, kappa: 0.467, kb_relative_information_score: 2587.0896, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5918, predictive_accuracy: 0.6125, prior_entropy: 2.3005, recall: 0.6125, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.6104, kappa: 0.4834, kb_relative_information_score: 221.8307, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6057, predictive_accuracy: 0.6211, prior_entropy: 2.3005, recall: 0.6211, relative_absolute_error: 1.0996, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.37, root_relative_squared_error: 1.0449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6035, kappa: 0.4757, kb_relative_information_score: 2563.9036, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5997, predictive_accuracy: 0.621, prior_entropy: 2.3005, recall: 0.621, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.595, kappa: 0.4645, kb_relative_information_score: 2446.1039, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5921, predictive_accuracy: 0.6149, prior_entropy: 2.3005, recall: 0.6149, relative_absolute_error: 0.7007, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.5673, kappa: 0.4278, kb_relative_information_score: 2187.6395, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5692, predictive_accuracy: 0.5943, prior_entropy: 2.3005, recall: 0.5943, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5732, kappa: 0.4357, kb_relative_information_score: 2231.5668, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5732, predictive_accuracy: 0.5987, prior_entropy: 2.3005, recall: 0.5987, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.6024, kappa: 0.4727, kb_relative_information_score: 3021.5094, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5986, predictive_accuracy: 0.6136, prior_entropy: 2.3005, recall: 0.6136, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.5788, kappa: 0.4393, kb_relative_information_score: 184.6875, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5786, predictive_accuracy: 0.5843, prior_entropy: 2.3005, recall: 0.5843, relative_absolute_error: 1.1062, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.5914, kappa: 0.4595, kb_relative_information_score: 2358.9269, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5893, predictive_accuracy: 0.6123, prior_entropy: 2.3005, recall: 0.6123, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.5377, kappa: 0.3837, kb_relative_information_score: 569.4365, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5407, predictive_accuracy: 0.549, prior_entropy: 2.3005, recall: 0.549, relative_absolute_error: 1.0525, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.5429, kappa: 0.3949, kb_relative_information_score: 1976.3202, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5534, predictive_accuracy: 0.5775, prior_entropy: 2.3005, recall: 0.5775, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.5846, kappa: 0.448, kb_relative_information_score: 2542.5998, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5812, predictive_accuracy: 0.5912, prior_entropy: 2.3005, recall: 0.5912, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.8703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.5967, kappa: 0.4652, kb_relative_information_score: 2984.9684, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5918, predictive_accuracy: 0.6084, prior_entropy: 2.3005, recall: 0.6084, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.5932, kappa: 0.4618, kb_relative_information_score: 2374.6527, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5914, predictive_accuracy: 0.6139, prior_entropy: 2.3005, recall: 0.6139, relative_absolute_error: 0.7155, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.5988, kappa: 0.4691, kb_relative_information_score: 2438.7886, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5967, predictive_accuracy: 0.6183, prior_entropy: 2.3005, recall: 0.6183, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7976, f_measure: 0.5364, kappa: 0.3832, kb_relative_information_score: 575.1819, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5358, predictive_accuracy: 0.5443, prior_entropy: 2.3005, recall: 0.5443, relative_absolute_error: 1.0533, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, kappa: 0.0954, kb_relative_information_score: 177.5108, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4413, prior_entropy: 2.3005, recall: 0.4413, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, kappa: 0.1306, kb_relative_information_score: 182.2067, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.458, prior_entropy: 2.3005, recall: 0.458, relative_absolute_error: 1.1052, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.4893, kappa: 0.3265, kb_relative_information_score: 183.4408, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.514, predictive_accuracy: 0.5337, prior_entropy: 2.3005, recall: 0.5337, relative_absolute_error: 1.106, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.5886, kappa: 0.4559, kb_relative_information_score: 2300.3392, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.587, predictive_accuracy: 0.6102, prior_entropy: 2.3005, recall: 0.6102, relative_absolute_error: 0.7203, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.6082, kappa: 0.4801, kb_relative_information_score: 2372.227, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6075, predictive_accuracy: 0.619, prior_entropy: 2.3005, recall: 0.619, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.5946, kappa: 0.4638, kb_relative_information_score: 2396.6772, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.593, predictive_accuracy: 0.6156, prior_entropy: 2.3005, recall: 0.6156, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.563, kappa: 0.4215, kb_relative_information_score: 2177.3823, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5596, predictive_accuracy: 0.5843, prior_entropy: 2.3005, recall: 0.5843, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.6106, kappa: 0.4832, kb_relative_information_score: 211.4419, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.607, predictive_accuracy: 0.6164, prior_entropy: 2.3005, recall: 0.6164, relative_absolute_error: 1.1022, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.5923, kappa: 0.4584, kb_relative_information_score: 2859.8425, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5889, predictive_accuracy: 0.5969, prior_entropy: 2.3005, recall: 0.5969, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.4366, kappa: 0.2455, kb_relative_information_score: 203.476, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4504, predictive_accuracy: 0.4894, prior_entropy: 2.3005, recall: 0.4894, relative_absolute_error: 1.1019, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3707, root_relative_squared_error: 1.0471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.4734, kappa: 0.3003, kb_relative_information_score: 315.57, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.491, predictive_accuracy: 0.5216, prior_entropy: 2.3005, recall: 0.5216, relative_absolute_error: 1.083, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3648, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.5275, kappa: 0.3731, kb_relative_information_score: 367.6526, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5353, predictive_accuracy: 0.5456, prior_entropy: 2.3005, recall: 0.5456, relative_absolute_error: 1.0797, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.6073, kappa: 0.4809, kb_relative_information_score: 2565.489, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6029, predictive_accuracy: 0.6234, prior_entropy: 2.3005, recall: 0.6234, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.5237, kappa: 0.369, kb_relative_information_score: 1856.6217, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5409, predictive_accuracy: 0.5647, prior_entropy: 2.3005, recall: 0.5647, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.532, kappa: 0.3792, kb_relative_information_score: 1925.7741, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5453, predictive_accuracy: 0.5695, prior_entropy: 2.3005, recall: 0.5695, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.8641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.6174, kappa: 0.492, kb_relative_information_score: 208.9405, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6141, predictive_accuracy: 0.6236, prior_entropy: 2.3005, recall: 0.6236, relative_absolute_error: 1.1026, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.371, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, kappa: 0.197, kb_relative_information_score: 179.8344, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4752, prior_entropy: 2.3005, recall: 0.4752, relative_absolute_error: 1.1062, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.544, kappa: 0.3978, kb_relative_information_score: 2001.7274, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5518, predictive_accuracy: 0.5783, prior_entropy: 2.3005, recall: 0.5783, relative_absolute_error: 0.7734, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.5519, kappa: 0.4077, kb_relative_information_score: 2068.034, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5574, predictive_accuracy: 0.5834, prior_entropy: 2.3005, recall: 0.5834, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.8532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.5508, kappa: 0.4057, kb_relative_information_score: 1402.5095, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5567, predictive_accuracy: 0.5778, prior_entropy: 2.3005, recall: 0.5778, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.5557, kappa: 0.4125, kb_relative_information_score: 205.8033, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5607, predictive_accuracy: 0.5824, prior_entropy: 2.3005, recall: 0.5824, relative_absolute_error: 1.1014, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.0466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.575, kappa: 0.4391, kb_relative_information_score: 199.5606, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5761, predictive_accuracy: 0.5969, prior_entropy: 2.3005, recall: 0.5969, relative_absolute_error: 1.1032, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.4146, kappa: 0.2282, kb_relative_information_score: 182.3446, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4579, predictive_accuracy: 0.4985, prior_entropy: 2.3005, recall: 0.4985, relative_absolute_error: 1.1059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.5737, kappa: 0.4347, kb_relative_information_score: 1128.6225, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5807, predictive_accuracy: 0.5922, prior_entropy: 2.3005, recall: 0.5922, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.336, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.5573, kappa: 0.4153, kb_relative_information_score: 192.9338, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.565, predictive_accuracy: 0.5834, prior_entropy: 2.3005, recall: 0.5834, relative_absolute_error: 1.1043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.5594, kappa: 0.4177, kb_relative_information_score: 2118.0985, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5635, predictive_accuracy: 0.5891, prior_entropy: 2.3005, recall: 0.5891, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.6133, kappa: 0.4882, kb_relative_information_score: 2708.6072, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6077, predictive_accuracy: 0.625, prior_entropy: 2.3005, recall: 0.625, relative_absolute_error: 0.6473, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.5898, kappa: 0.457, kb_relative_information_score: 2462.8526, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5852, predictive_accuracy: 0.6076, prior_entropy: 2.3005, recall: 0.6076, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.5986, kappa: 0.4692, kb_relative_information_score: 2499.8625, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5948, predictive_accuracy: 0.6167, prior_entropy: 2.3005, recall: 0.6167, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.5746, kappa: 0.4373, kb_relative_information_score: 2207.8676, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5756, predictive_accuracy: 0.5995, prior_entropy: 2.3005, recall: 0.5995, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.4967, kappa: 0.34, kb_relative_information_score: 191.0981, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5193, predictive_accuracy: 0.5436, prior_entropy: 2.3005, recall: 0.5436, relative_absolute_error: 1.1042, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.6045, kappa: 0.4758, kb_relative_information_score: 2933.4219, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6032, predictive_accuracy: 0.6187, prior_entropy: 2.3005, recall: 0.6187, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.3755, kappa: 0.1673, kb_relative_information_score: 186.5437, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4513, predictive_accuracy: 0.4779, prior_entropy: 2.3005, recall: 0.4779, relative_absolute_error: 1.1043, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, kappa: 0.1026, kb_relative_information_score: 177.3797, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4423, prior_entropy: 2.3005, recall: 0.4423, relative_absolute_error: 1.1065, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3723, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.5773, kappa: 0.4411, kb_relative_information_score: 2209.5359, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5779, predictive_accuracy: 0.602, prior_entropy: 2.3005, recall: 0.602, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.5882, kappa: 0.4553, kb_relative_information_score: 2340.1458, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5862, predictive_accuracy: 0.6095, prior_entropy: 2.3005, recall: 0.6095, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, kappa: 0.0351, kb_relative_information_score: 244.0007, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.43, prior_entropy: 2.3005, recall: 0.43, relative_absolute_error: 1.078, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3634, root_relative_squared_error: 1.0264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.5636, kappa: 0.4223, kb_relative_information_score: 2121.7525, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5676, predictive_accuracy: 0.5915, prior_entropy: 2.3005, recall: 0.5915, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.5666, kappa: 0.4271, kb_relative_information_score: 2186.0878, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5684, predictive_accuracy: 0.5938, prior_entropy: 2.3005, recall: 0.5938, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6123, kappa: 0.4855, kb_relative_information_score: 204.0515, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6082, predictive_accuracy: 0.6214, prior_entropy: 2.3005, recall: 0.6214, relative_absolute_error: 1.1032, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.556, kappa: 0.4133, kb_relative_information_score: 2074.8581, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5609, predictive_accuracy: 0.5866, prior_entropy: 2.3005, recall: 0.5866, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.5575, kappa: 0.4151, kb_relative_information_score: 2120.0216, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5605, predictive_accuracy: 0.5873, prior_entropy: 2.3005, recall: 0.5873, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.6103, kappa: 0.4846, kb_relative_information_score: 2635.6693, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6047, predictive_accuracy: 0.6231, prior_entropy: 2.3005, recall: 0.6231, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.5999, kappa: 0.4684, kb_relative_information_score: 193.6627, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5971, predictive_accuracy: 0.6041, prior_entropy: 2.3005, recall: 0.6041, relative_absolute_error: 1.1049, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.5819, kappa: 0.4468, kb_relative_information_score: 2240.569, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5832, predictive_accuracy: 0.6062, prior_entropy: 2.3005, recall: 0.6062, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.8367,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs